A human circulating immune cell landscape in aging and COVID-19
Yingfeng Zheng, Xiuxing Liu, Wenqing Le, Lihui Xie, He Li, Wen Wen, Si Wang, Shuai Ma, Zhaohao Huang, Jinguo Ye, Wen Shi, Yanxia Ye, Zunpeng Liu, Moshi Song, Weiqi Zhang, Jing-Dong J. Han, Juan Carlos Izpisua Belmonte, Chuanle Xiao, Jing Qu, Hongyang Wang, Guang-Hui Liu, Wenru Su
A human circulating immune cell landscape in aging and COVID-19
Age-associated changes in immune cells have been linked to an increased risk for infection. However, a global and detailed characterization of the changes that human circulating immune cells undergo with age is lacking. Here, we combined scRNA-seq, mass cytometry and scATAC-seq to compare immune cell types in peripheral blood collected from young and old subjects and patients with COVID-19. We found that the immune cell landscape was reprogrammed with age and was characterized by T cell polarization from naive and memory cells to effector, cytotoxic, exhausted and regulatory cells, along with increased late natural killer cells, age-associated B cells, inflammatory monocytes and age-associated dendritic cells. In addition, the expression of genes, which were implicated in coronavirus susceptibility, was upregulated in a cell subtypespecific manner with age. Notably, COVID-19 promoted age-induced immune cell polarization and gene expression related to inflammation and cellular senescence. Therefore, these findings suggest that a dysregulated immune system and increased gene expression associated with SARS-CoV-2 susceptibility may at least partially account for COVID-19 vulnerability in the elderly.
aging / single-cell sequencing / blood / COVID-19 / immune cells
[1] |
Alpert A, Pickman Y, Leipold M, Rosenberg-Hasson Y, Ji X, Gaujoux R, Rabani H, Starosvetsky E, Kveler K, Schaffert S
CrossRef
Google scholar
|
[2] |
Angelidis I, Simon LM, Fernandez IE, Strunz M, Mayr CH, Greiffo FR, Tsitsiridis G, Ansari M, Graf E, Strom TM
CrossRef
Google scholar
|
[3] |
Bahar R, Hartmann CH, Rodriguez KA, Denny AD, Busuttil RA, Dollé ME, Calder RB, Chisholm GB, Pollock BH, Klein CA
CrossRef
Google scholar
|
[4] |
Bi S, Liu Z, Wu Z, Wang Z, Liu X, Wang S, Ren J, Yao Y, Zhang W, Song M
CrossRef
Google scholar
|
[5] |
Bian H, Zheng Z, Wei D,
CrossRef
Google scholar
|
[6] |
Cheung P, Vallania F, Warsinske HC, Donato M, Schaffert S, Chang SE, Dvorak M, Dekker CL, Davis MM, Utz PJ
CrossRef
Google scholar
|
[7] |
Ciabattini A, Nardini C, Santoro F, Garagnani P, Franceschi C, Medaglini D (2018) Vaccination in the elderly: The challenge of immune changes with aging. Semin Immunol 40:83–94
CrossRef
Google scholar
|
[8] |
Dulken BW, Buckley MT, Navarro Negredo P, Saligrama N, Cayrol R, Leeman DS, George BM, Boutet SC, Hebestreit K, Pluvinage JV
CrossRef
Google scholar
|
[9] |
Franceschi C, Garagnani P, Parini P, Giuliani C, Santoro A (2018) Inflammaging: a new immune-metabolic viewpoint for age-related diseases. Nat Rev Endocrinol 14(10):576–590
CrossRef
Google scholar
|
[10] |
Grabiec AM, Hussell T (2016) The role of airway macrophages in apoptotic cell clearance following acute and chronic lung inflammation. Semin Immunopathol 38(4):409–423
CrossRef
Google scholar
|
[11] |
Hakim FT, Gress RE (2007) Immunosenescence: deficits in adaptive immunity in the elderly. Tissue Antigens 70(3):179–189
CrossRef
Google scholar
|
[12] |
Hammond TR, Marsh SE, Stevens B (2019) Immune Signaling in Neurodegeneration. Immunity 50:955–974
CrossRef
Google scholar
|
[13] |
Han L, Wei X, Liu C, Volpe G, Wang Z, Pan T, Yuan Y, Lei Y, Lai Y, Ward C
CrossRef
Google scholar
|
[14] |
He X, Memczak S, Qu J, Belmonte JCI, Liu G (2020) Single-cell omics in ageing: a young and growing field. Nat Metab 2:293
CrossRef
Google scholar
|
[15] |
Herzig E, Kim KC, Packard TA, Vardi N, Schwarzer R, Gramatica A, Deeks SG, Williams SR, Landgraf K, Killeen N
CrossRef
Google scholar
|
[16] |
Hickman HD, Reynoso GV, Ngudiankama BF, Cush SS, Gibbs J, Bennink JR, Yewdell JW (2015) CXCR3 chemokine receptor enables local CD8(+) T cell migration for the destruction of virusinfected cells. Immunity 42:524–537
CrossRef
Google scholar
|
[17] |
Hutten TJ, Thordardottir S, Fredrix H, Janssen L, Woestenenk R, Tel J, Joosten B, Cambi A, Heemskerk MH, Franssen GM
CrossRef
Google scholar
|
[18] |
Leins H, Mulaw M, Eiwen K, Sakk V, Liang Y, Denkinger M, Geiger H, Schirmbeck R (2018) Aged murine hematopoietic stem cells drive aging-associated immune remodeling. Blood. 132(6):565–576
CrossRef
Google scholar
|
[19] |
Li J, Zheng Y, Yan P, Song M, Wang S, Sun L, Liu Z, Ma S, Belmonte JCI, Chan P
CrossRef
Google scholar
|
[20] |
López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G (2013) The hallmarks of aging. Cell 153(6):1194–1217
CrossRef
Google scholar
|
[21] |
Ma S, Sun S, Geng L, Song M, Wang W, Ye Y, Ji Q, Zou Z, Wang S, He X
CrossRef
Google scholar
|
[22] |
Martinez-Jimenez CP, Eling N, Chen HC, Vallejos CA, Kolodziejczyk AA, Connor F, Stojic L, Rayner TF, Stubbington M, Teichmann SA
CrossRef
Google scholar
|
[23] |
Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ, HLH Across Speciality Collaboration, UK (2020) COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet 395:1033–1034
CrossRef
Google scholar
|
[24] |
Merad M, Martin JC (2020) Pathological inflammation in patients with COVID-19: a key role for monocytes and macrophages. Nat Rev Immunol 20:355–362
CrossRef
Google scholar
|
[25] |
Messaoudi I, Warner J, Fischer M, Park B, Hill B, Mattison J, Lane MA, Roth GS, Ingram DK, Picker LJ
CrossRef
Google scholar
|
[26] |
Mohrin M, Shin J, Liu Y, Brown K, Luo H, Xi Y, Haynes CM, Chen D (2015) Stem cell aging. A mitochondrial UPR-mediated metabolic checkpoint regulates hematopoietic stem cell aging. Science 347:1374–1377
CrossRef
Google scholar
|
[27] |
Mrdjen D, Pavlovic A, Hartmann FJ, Schreiner B, Utz SG, Leung BP, Lelios I, Heppner FL, Kipnis J, Merkler D
CrossRef
Google scholar
|
[28] |
Onder G, Rezza G, Brusaferro S (2020) Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy. JAMA
CrossRef
Google scholar
|
[29] |
Ong SM, Hadadi E, Dang TM, Yeap WH, Tan CT, Ng TP, Larbi A, Wong SC (2018) The pro-inflammatory phenotype of the human non-classical monocyte subset is attributed to senescence. Cell Death Dis 9(3):266
CrossRef
Google scholar
|
[30] |
Panda A, Arjona A, Sapey E, Bai F, Fikrig E, Montgomery RR, Lord JM, Shaw AC (2009) Human innate immunosenescence: causes and consequences for immunity in old age. Trends Immunol 30(7):325–333
CrossRef
Google scholar
|
[31] |
Pinti M, Appay V, Campisi J, Frasca D, Fülöp T, Sauce D, Larbi A, Weinberger B, Cossarizza A (2016) Aging of the immune system: focus on inflammation and vaccination. Eur J Immunol 46:2286–2301
CrossRef
Google scholar
|
[32] |
Pont F, Tosolini M, Fournié JJ (2019) Single-cell signature explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets. Nucleic Acids Res 47:e133
CrossRef
Google scholar
|
[33] |
Qi F, Qian S, Zhang S, Zhang Z (2020) Single cell RNA sequencing of 13 human tissues identify cell types and receptors of human coronaviruses. Biochem Biophys Res Commun 526(1):135–140
CrossRef
Google scholar
|
[34] |
Radzikowska U, Ding M, Tan G, Zhakparov D, Peng Y, Wawrzyniak P, Wang M, Li S, Morita H, Altunbulakli C
CrossRef
Google scholar
|
[35] |
Rogers KJ, Brunton B, Mallinger L, Bohan D, Sevcik KM, Chen J, Ruggio N, Maury W (2019) IL-4/IL-13 polarization of macrophages enhances Ebola virus glycoprotein-dependent infection. PLoS Negl Trop Dis 13:e0007819
CrossRef
Google scholar
|
[36] |
Ruffin N, Gea-Mallorquí E, Brouiller F, Jouve M, Silvin A, See P, Dutertre CA, Ginhoux F, Benaroch P(2019) Constitutive Siglec-1 expression confers susceptibility to HIV-1 infection of human dendritic cell precursors. Proc Natl Acad Sci USA 116(43):21685–21693
CrossRef
Google scholar
|
[37] |
Satpathy AT, Granja JM, Yost KE, Qi Y, Meschi F, McDermott GP, Olsen BN, Mumbach MR, Pierce SE, Corces MR
CrossRef
Google scholar
|
[38] |
Shaulian E, Karin M (2002) AP-1 as a regulator of cell life and death. Nat Cell Biol 4:E131–E136
CrossRef
Google scholar
|
[39] |
Son A, Nakamura H, Okuyama H, Oka S, Yoshihara E, Liu W, Matsuo Y, Kondo N, Masutani H, Ishii Y
CrossRef
Google scholar
|
[40] |
Takenaka MC, Quintana FJ (2017) Tolerogenic dendritic cells. Semin Immunopathol 39(2):113–120
CrossRef
Google scholar
|
[41] |
Ulrich H, Pillat MM (2020) CD147 as a Target for COVID-19 Treatment: Suggested Effects of Azithromycin and Stem Cell Engagement. Stem Cell Rev Rep
CrossRef
Google scholar
|
[42] |
Van Hove H, Martens L, Scheyltjens I, De Vlaminck K, Pombo Antunes AR, De Prijck S, Vandamme N, De Schepper S, Van Isterdael G, Scott CL
CrossRef
Google scholar
|
[43] |
Verity R, Okell LC, Dorigatti I, Winskill P, Whittaker C, Imai N, Cuomo-Dannenburg G, Thompson H, Walker P, Fu H
CrossRef
Google scholar
|
[44] |
Wang S, Zheng Y, Li J, Yu Y, Zhang W, Song M, Liu Z, Min Z, Hu H, Jing Y
CrossRef
Google scholar
|
[45] |
Watson N, Ding B, Zhu X, Frisina RD (2017) Chronic inflammation-inflammaging- in the ageing cochlea: a novel target for future presbycusis therapy. Ageing Res Rev 40:142–148
CrossRef
Google scholar
|
[46] |
Wen W, Su W, Tang H, Le W, Zhang X, Zheng Y, Liu X, Xie L, Li J, Ye J
CrossRef
Google scholar
|
[47] |
Wu J, Zhang H, Zheng Y, Jin X, Liu M, Li S, Zhao Q, Liu X, Wang Y, Shi M
CrossRef
Google scholar
|
[48] |
Yuseff MI, Pierobon P, Reversat A, Lennon-Duménil AM (2013) How B cells capture, process and present antigens: a crucial role for cell polarity. Nat Rev Immunol 13(7):475–486
CrossRef
Google scholar
|
[49] |
Zhang X, Liu Z, Liu X, Wang S, Zhang Y, He X, Sun S, Ma S, Shyh-Chang N, Liu F
CrossRef
Google scholar
|
[50] |
Zhang W, Zhang S, Yan P, Ren J, Song M, Li J, Lei J, Pan H, Wang S, Ma X
CrossRef
Google scholar
|
[51] |
Zhou Y, Zhou B, Pache L, Chang M, Khodabakhshi AH, Tanaseichuk O, Benner C, Chanda SK (2019) Metascape provides a biologistoriented resource for the analysis of systems-level datasets. Nat Commun 10:1523
CrossRef
Google scholar
|
[52] |
Zhou Y, Fu B, Zheng X, Wang D, Zhao C, Qi Y, Sun R, Tian Z, Xu X, Wei H (2020) Pathogenic T-cells and inflammatory monocytes incite inflammatory storms in severe COVID-19 patients. Natl Sci Rev
CrossRef
Google scholar
|
/
〈 | 〉 |